Mistral on NVIDIA Ada

Can I run Mistral NeMo 12B on an RTX 4060 Ti 16GB?

Yes. Mistral NeMo 12B at Q4_K_M uses 9.1 GB of the 14.2 GB available on a RTX 4060 Ti 16GB, and runs at about 22.5 tokens per second. You can push the context to 41K.

Runs comfortably

9.1 GB of 14.2 GB · 64%
014 GB
Weights 7.0 GB
KV cache 1.3 GB
Runtime overhead 0.8 GB

Mistral NeMo 12B at Q4_K_M leaves 5.1 GB spare on a RTX 4060 Ti 16GB. There is room to raise the context length or move up a quantisation level.

Generation22.5tok/s
Prompt processing754tok/s
Max context41Ktokens
KV per 1K tokens0GB

Every quantisation of Mistral NeMo 12B on a RTX 4060 Ti 16GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 22.8 GB 24.9 GB Won't fit — 2.76
INT8 / W8A8 8.50 11.8 GB 13.9 GB Fits, but tight 10K 13.8
Q8_0 (GGUF) 8.50 11.8 GB 13.9 GB Fits, but tight 10K 13.8
FP8 (E4M3) 8.00 11.4 GB 13.5 GB Fits, but tight 13K 14.3
Q6_K 6.56 9.4 GB 11.4 GB Runs comfortably 26K 17.2
Q5_K_M 5.67 8.1 GB 10.2 GB Runs comfortably 34K 19.7
AWQ 4-bit 4.25 7.9 GB 10.0 GB Runs comfortably 35K 20.2
GPTQ 4-bit 4.25 7.9 GB 10.0 GB Runs comfortably 35K 20.2
MXFP4 4.25 7.9 GB 10.0 GB Runs comfortably 35K 20.2
Q5_K_S 5.52 7.9 GB 10.0 GB Runs comfortably 35K 20.2
Q4_K_M 4.85 7.0 GB 9.1 GB Runs comfortably 41K 22.5
Q4_K_S 4.58 6.7 GB 8.8 GB Runs comfortably 43K 23.5
Q4_0 4.55 6.6 GB 8.7 GB Runs comfortably 43K 23.6
IQ4_XS 4.25 6.3 GB 8.3 GB Runs comfortably 46K 24.9
Q3_K_M 3.91 5.8 GB 7.9 GB Runs comfortably 48K 26.6
IQ3_M 3.70 5.6 GB 7.6 GB Runs comfortably 50K 27.7
IQ3_XXS 3.06 4.7 GB 6.8 GB Runs comfortably 55K 31.9
Q2_K 2.63 4.2 GB 6.3 GB Runs comfortably 59K 35.5
IQ2_XXS 2.06 3.5 GB 5.6 GB Runs comfortably 64K 41.7
IQ1_M 1.75 3.1 GB 5.2 GB Runs comfortably 66K 46.1

Also worth checking

Mistral NeMo 12B on every GPU
Full hardware tableEverything that runs on a RTX 4060 Ti 16GB
Full model tableWhy the KV cache is the part that bites
Guide